
Sr. Data Scientist (Global Media Agency)
at Global Media Agency - A client of Merito
Our client combines Adtech and Martech platform strategy with data science & data engineering expertise, helping our clients make advertising work better for people.
- Act as primary day-to-day contact on analytics to agency-client leads
- Develop bespoke analytics proposals for presentation to agencies & clients, for delivery within the teams
- Ensure delivery of projects and services across the analytics team meets our stakeholder requirements (time, quality, cost)
- Hands on platforms to perform data pre-processing that involves data transformation as well as data cleaning
- Ensure data quality and integrity
- Interpret and analyse data problems
- Build analytic systems and predictive models
- Increasing the performance and accuracy of machine learning algorithms through fine-tuning and further
- Visualize data and create reports
- Experiment with new models and techniques
- Align data projects with organizational goals
Requirements
- Min 6 - 7 years’ experience working in Data Science
- Prior experience as a Data Scientist within a digital media is desirable
- Solid understanding of machine learning
- A degree in a quantitative field (e.g. economics, computer science, mathematics, statistics, engineering, physics, etc.)
- Experience with SQL/ Big Query/GMP tech stack / Clean rooms such as ADH
- A knack for statistical analysis and predictive modelling
- Good knowledge of R, Python
- Experience with SQL, MYSQL, PostgreSQL databases
- Knowledge of data management and visualization techniques
- Hands-on experience on BI/Visual Analytics Tools like PowerBI or Tableau or Data Studio
- Evidence of technical comfort and good understanding of internet functionality desirable
- Analytical pedigree - evidence of having approached problems from a mathematical perspective and working through to a solution in a logical way
- Proactive and results-oriented
- A positive, can-do attitude with a thirst to continually learn new things
- An ability to work independently and collaboratively with a wide range of teams
- Excellent communication skills, both written and oral

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What You’ll Do:
● Lead and mentor a team of backend engineers, providing technical direction, guidance, and
performance feedback
● Architect, design, and develop scalable backend services and APIs using Golang
● Own SQL database design, optimization, indexing, and performance tuning to ensure data integrity
and efficiency
● Work closely with Product, QA, DevOps, and Analytics teams to translate business requirements
into robust technical solutions
● Drive best practices in system design, code quality, security, and reliability
● Troubleshoot and resolve complex issues across development, staging, and production
environments
● Oversee CI/CD pipelines and ensure smooth, reliable deployments
● Conduct and participate in code reviews to maintain high engineering standards
● Collaborate with QA teams to ensure thorough testing and high-quality releases
● Stay updated with emerging technologies and industry trends, recommending and implementing
improvements where applicable
● Foster a collaborative, innovative, and growth-oriented engineering culture
What You’ll Need
● 6+ years of professional software engineering experience, including 3+ years of hands-on Golang
development
● Proven experience leading or managing engineering teams
● Strong expertise in SQL databases (schema design, query optimization, indexing, performance
tuning)
● Hands-on experience with Columnar OLAP databases (Druid, ClickHouse, or similar)
● Hands-on experience with OLTP databases (ScyllaDB, Redis, or similar)
● Solid understanding of microservices architecture, RESTful APIs, and distributed systems
● Experience with Docker, Kubernetes, and cloud platforms (AWS / GCP / Azure)
● Strong proficiency with Git and collaborative development workflows
● Deep understanding of concurrency, performance optimization, and memory management in
Golang
Nice to Have:
● Experience with NoSQL databases and data modeling
● Exposure to messaging systems such as Kafka, RabbitMQ, or similar
● Familiarity with monitoring and observability tools (Prometheus, Grafana, ELK stack)
● Experience working in Agile / Scrum environments
What We’re Looking For
- 3-5 years of Data Science & ML experience in consumer internet / B2C products.
- Degree in Statistics, Computer Science, or Engineering (or certification in Data Science).
- Machine Learning wizardry: recommender systems, NLP, user profiling, image processing, anomaly detection.
- Statistical chops: finding meaningful insights in large data sets.
- Programming ninja: R, Python, SQL + hands-on with Numpy, Pandas, scikit-learn, Keras, TensorFlow (or similar).
- Visualization skills: Redshift, Tableau, Looker, or similar.
- A strong problem-solver with curiosity hardwired into your DNA.
- Brownie Points
- Experience with big data platforms: Hadoop, Spark, Hive, Pig.
- Extra love if you’ve played with BI tools like Tableau or Looker.
Experience: 3+ years of experience in Cloud Architecture
About Company:
The company is a global leader in secure payments and trusted transactions. They are at the forefront of the digital revolution that is shaping new ways of paying, living, doing business and building relationships that pass on trust along the entire payments value chain, enabling sustainable economic growth. Their innovative solutions, rooted in a rock-solid technological base, are environmentally friendly, widely accessible and support social transformation.
Cloud Architect / Lead
- Role Overview
- Senior Engineer with a strong background and experience in cloud related technologies and architectures. Can design target cloud architectures to transform existing architectures together with the in-house team. Can actively hands-on configure and build cloud architectures and guide others.
- Key Knowledge
- 3-5+ years of experience in AWS/GCP or Azure technologies
- Is likely certified on one or more of the major cloud platforms
- Strong experience from hands-on work with technologies such as Terraform, K8S, Docker and orchestration of containers.
- Ability to guide and lead internal agile teams on cloud technology
- Background from the financial services industry or similar critical operational experience
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Responsibilities
- Have the passion and experience for building responsive, elegant and engaging experiences with future friendly web technologies.
- Integration of user-facing elements developed by front-end developers with server side logic.
- Writing reusable, testable, and efficient code with proper documentation. Design and implementation of low-latency, high-availability, and performant applications Implementation of security and data protection Integration of data storage solutions.
- Continually keep yourself and your design team updated with the latest changes in your industry’s standards









